Design of Underwater Thruster Fault Detection Model Based on Vibration Sensor Data: Generative Adversarial Network-based Fault Data Expansion Approach for Data Imbalance-Reference-Cited by-同舟云学术

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Design of Underwater Thruster Fault Detection Model Based on Vibration Sensor Data: Generative Adversarial Network-based Fault Data Expansion Approach for Data Imbalance

Published:2022-08-30 Issue:8 Volume:34 Page:3213
ISSN:0914-4935
Container-title:Sensors and Materials
language:en
Short-container-title:

Author:

Kim Myungjun,Cho Hyunjoon,Choo Ki-Beom,Jiafeng Huang,Jung Dong-Wook,Park Jung-Hyeun,Lee Ji-Hyeong,Jeong Sang-Ki,Ji Dae-Hyeong,Choi Hyeung-Sik

Publisher

MYU K.K.

Subject

General Materials Science,Instrumentation

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative adversarial networks for prognostic and health management of industrial systems: A review;Expert Systems with Applications;2024-11

2. Few-shot fault diagnosis of underwater thrusters based on semi-supervised prototypical network with SimAM attention and auxiliary classifier;Ocean Engineering;2024-11

3. Fault-Coping Algorithm for Improving Leader–Follower Swarm-Control Algorithm of Unmanned Surface Vehicles;Applied Sciences;2024-04-19

4. Time-series-based Equipment Failure Diagnosis Mechanism in the Context of Minority Failure Samples;Sensors and Materials;2023-11-08

5. A Fault Diagnosis Method for the Autonomous Underwater Vehicle via Meta-Self-Attention Multi-Scale CNN;Journal of Marine Science and Engineering;2023-05-26

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